Sheep Meat Research Articles

Efficiency of grazing for adult culled sheep in the southern regions of Kyrgyzstan

This article provides an analysis of the fattening of adult cull ewes of the Gissar and Gissar-Kyrgyz breeds, and provides research results. In Kyrgyzstan, sheep meat, especially fat-tailed sheep, is very popular among the local population. It is important to note that a breeding system is used there, which is based on year-round transhumance and pasture keeping of sheep. This allows you to achieve several goals: firstly, to produce relatively inexpensive products; secondly, to effectively use mountain and foothill pastures for grazing sheep; and, finally, to ensure the production of environmentally friendly lamb meat and fat tail fat for traditional medicine. Sheep feeding plays an important role in increasing the volume and improving the quality of lamb production. In solving the problems of increasing meat production in the Kyrgyz Republic, the leading place belongs to sheep breeds for meat and fat production. Fattailed sheep have high meat and fat productivity and early maturity. These qualities make them valuable for replenishing meat resources and ensuring high meat and fat qualities.

Effect of sex and age on chemical composition of sheep, cattle and camel meat

Meat is highly valuable food product for human consumption because it is a good source of all essential amino acids, crude protein, energy, minerals and major source of vitamins that necessary for human nutrition. The distinctive flavor, tenderness, choiceness and agreeable make it one of the preferred food. In this study three types of meat samples, these are sheep, beef and camel (male and female) with different age group (young, medium and old) were selected and allotted to three experimental groups (treatments). The study was conducted to assess the effects of age and sex on chemical composition for different types of meat. A (3×3×2) factorial arrangement in Complete Randomized Design (CRD) was conducted. The study showed highly significant differences (P≤0.001) among different treatments. Camel meat had scored the highest values of moisture, fiber, ash and (F+) while sheep recorded the lowest value. Sheep meat tended to have the highest values of crude protein, fat, (Ca), and (K+) content while camel meat recorded the lowest values. With regard to the age group the study showed that young age group had obtained the highest values of crude protein and (Ca) contents while old age group scored the less values. Medium age group had reported the highest values of moisture, fat, ash and (K+) content followed by the old age group. Concerning interaction effects of meat type, sex and age group female sheep with medium age (FSM) had reported the highest values of moisture while female sheep with young age (FSY) and female beef with young age (FBY) revealed the highest values of protein content. On other hand female beef of young age (FBY) and female sheep of medium age (FSM) scored the highest values of fat content. Irrespective of animal type, female meat of medium age tended to have better values; due to the results we recommended that selecting female medium age group for producing meat with highly quality attributes.

Financial model for solving environmental problems in agriculture

Adverse impact on the environment and humans is one of the important tasks of modernizing agriculture and ensuring state security, rational use of resources to preserve the ecological environment. Improving the profitability of agriculture on the condition of reducing the use of fertilizers and biocides to solve ecological problem. The availability of resources (agricultural land) changes in conditions of scarcity. In this article, we consider factors for assessing the rational use of land resources, crop production technologies in achieving the goals of developing a “green” economy. The factors of analysis in this study determine the prospects for farming, in terms of results. A linear programming model shown to analyze alternative rural development systems. The result of our research helps to develop ecological policies aimed at updating agricultural practices. The availability of resources such as agricultural land, water is decreasing, among other things, due to environmental problems faced by the state. Rapid economic development and rising living standards lead to an increase in demand for more luxurious and varied food. In particular, the demand for animal products such as goat and sheep meat, beef and milk is growing rapidly, while the efficiency of using resources (especially land and water) for food production in livestock production is much lower than in crop production.

Comparison of Bayesian methods for genomic prediction for resistance to worm infection in meat sheep

Comparison of Bayesian methods for genomic prediction for resistance to worm infection in meat sheep

Fast and on-site animal species identification in processed meat via centrifugal microfluidics and isothermal amplification.

We present a novel centrifugal microfluidic approach to rapidly identify animal species in meat products. The workflow requires a centrifugal cartridge for DNA extraction and for preparation of a recombinant polymerase amplification (RPA) reaction, a programmable centrifuge for processing the cartridge and an isothermal reader to perform the RPA. Liquid reagents are pre-stored on the cartridge and the meat sample can be added directly without any pre-treatment. With this system, we are able to identify six different animal species in a single run within one hour. In pork salami containing horse, turkey, sheep, chicken and beef meat, it was possible to identify species levels as low as 0.01%. In beef salami and cooked pork sausages 0.1% of foreign meat could be detected. This novel workflow enables rapid and sensitive species identification in processed meat at the point of need.

Veterinary sanitary assessment of mutton after application of antihelminth feed additive with albendazole.

This study assessed the anthelminthic feed additive albendazole effect on the main indicators of the quality of sheep meat obtained from infected and deworming animals. A total of 20 heads of Akzhaik meat and wool sheep (i.e. 2 years of age, of different sex) were used in a 20-day experiment and 2 groups of 10 heads were formed (n = 4). The sheep were fed with the basic diet (i.e. control, group CON), without adding anything, and the second group was fed the basic diet orally with the addition of a dose of 1.2 g / head (an experimental group). At the end of the experiment, a control slaughter was carried out from each group in order to study the biochemical composition of meat and its quality. The anthelmintic feed additive albendazole did not have a significant effect on the indicators (organoleptic and physicochemical) of meat quality (P> 0.04). However, the ratio of fat and ash in the meat of the control group has differences in indicators and is reduced by 24.81% and 0.03%, respectively. The drug had a significant effect on the biological value of meat in the experimental group, where there is a higher content of essential amino acids (P = 0.06), nonessential (P = 0.05) concentrations in comparison with the CON groups. The results obtained show that the meat of the experimental groups of sheep, when using the anthelminthic feed additive albendazole, did not have a significant effect on organoleptic parameters, but significantly positively influenced the metabolism, live weight gain and biological value of meat.

Antimicrobial Action of Silver Nanoparticles Manufactured from Cinnamon Bark Extract Against Bacteria Isolated from Fresh Sheep Meat in Baquba City

Antimicrobial Action of Silver Nanoparticles Manufactured from Cinnamon Bark Extract Against Bacteria Isolated from Fresh Sheep Meat in Baquba City

Polymorphism of IGFBP7 gene (g.72351183 A>C) and its association with mineral content and cholesterol of Indonesian lamb meat

The genetic improvement of sheep for higher productivity and meat quality is strongly needed due to the increasing demand for meat sheep. Insulin growth factor binding protein 7 (IGFBP7) has been reported as a potential gene which has a substantial role in meat quality. The objective of the study was to identify IGFBP7 gene polymorphisms and their association with minerals and cholesterol in Indonesian lamb meat. The study used 130 rams consisting of local and crossbred sheep. The local sheep were Javanese thin-tailed, Javanese fat-tailed, and Jonggol sheep. The crossbred sheep were Compass agrinak, Composite garut agrinak and Bahtera agrinak sheep. The identification of polymorphism was using PCR-RFLP method. The association analysis was obtained using a general linear model. The results showed that IGFBP7 (g.72351183 A>C) was polymorphic in local and crossbred sheep. The IGFBP7 was significantly associated with cholesterol in crossbred (P<0.01), whereas the AA genotype had the lowest cholesterol. Cholesterol in crossbred sheep also was higher (P<0.01) compared to local sheep for all observed genotypes. IGFBP7 gene was not significantly associated with minerals and cholesterol (P>0.05) in local sheep. It is concluded that IGFBP7 gene seems promising as a genetic marker for cholesterol level in Indonesian crossbred sheep.

Optimization and validation of high-performance liquid chromatography using modified QuEChERS to determine anthelmintic drugs in mutton.

The aim of this study was to rapidly determine the presence of anthelmintic drugs in sheep meat using the optimized high-performance liquid chromatography-ultraviolet (HPLC-UV) method with modified QuEChERS (quick, easy, cheap, effective, rugged, safe) technology. Fifty fresh sheep meat samples from different slaughterhouses were collected. A double extraction procedure (QuEChERS/HPLC-UV technology) was used to extract the target analytes. A multilevel calibration curve from 1 to 1000 g/kg was used to establish instrument linearity for rafoxanide, albendazole, and closantel, whereas 0.1-100 μg/kg was used for ivermectin, levamisole, and oxyclozanide to find the lowest concentration, maximum residue limit (MRL), and occupied range for targeted analytes. The concentration levels were used to investigate the linearity, whereas several certified reference materials were applied to determine accuracy. The process was linear for all combinations, from the limit of quantification (LOQ) to the maximum concentration. The LOQ was established at 0.5μg/kg for ivermectin, levamisole, and oxyclozanide and 10μg/kg for rafoxanide, albendazole, and closantel. Recovery values were 70%-120%, and repeatability/reproducibility stated in relative standard deviation was obtained at less than 20%. QuEChERS method revealed that most meat samples contained anthelmintic drug residues, of which the majority exceeded the MRLs. Thus, the drugs should be used correctly in animals to avoid residues in food for human consumption.

Аnalysis of the imports of Ile de France animals in Bulgaria, 2005-2023

The meat sheep breed Ile-de-France was introduced from France to Bulgaria more than 50 years ago. However, the most imports took place in the recent 20 years and especially after the establishment in 2005 of a breeding association for this breed in Bulgaria. In this study, an attempt to analyse and review the imports from France in the last 18 years was made. It was based on the data about the imported animals provided by the Association for breeding of Ile-de-France sheep in Bulgaria. These animals were selected for import not only on the quality of their parents, but also on their genetic predisposal to classical Scrapie. As a result, most of the animals with known prion protein gene genotypes were of the preferred, low risk one. Within the parents, for which data was available, 34% of the sires were ranked as improvers of growth qualities, and 45% of the dams as mothers of sires. The animals were raised in similar climatic conditions in both countries. The animal with most progeny in the herdbook was also imported one, having 163 records as a sire. The continuous import of low risk genotype animals should have positive impact on the resistance of the local population against Scrapie. As there are also Ile-de-France animals raised in Bulgaria, it might be beneficial to monitor the genetic diversity of prion protein gene in the local population.

The Molecular Detection and Antimicrobial Profiles of Selected Bacterial Pathogens in Slaughterhouses in Riyadh City, Saudi Arabia

Inadequate hygienic conditions and poor handling are the primary causes of contamination in abattoirs. This study aimed to identify and molecularly detect pathogenic bacteria in sheep meat at slaughterhouses in Riyadh City, Saudi Arabia. Additionally, the study evaluated the sensitivity of these bacteria to various antimicrobials. In total, 150 samples were collected three times every two months from November 2021 to March 2022 from four abattoirs located in the south, west, east, and north of Riyadh. Pathogenic bacteria were separated using selective media, and the Vitek 2 system was utilized to identify all species and test their response to antibiotics. PCR was employed to detect virulence genes. The four pathogenic bacteria identified in all samples were Escherichia coli (12%), Klebsiella pneumoniae (9.3%), Salmonella enterica (7.3%), and Pseudomonas aeruginosa (6.6%). Abattoir D had a high number of bacteria isolated in January. K. pneumoniae and S. enterica exhibited resistance to ampicillin. S. enterica also demonstrated resistance to gentamicin, ciprofloxacin, and trimethoprim/sulfamethoxazole. P. aeruginosa was resistant to tigecycline. PCR results indicated positive tests for the E. coli gene FimH, the P. aeruginosa genes plcH and toxA, and the K. pneumoniae gene mrkD. Pathogenic bacteria with positive results for virulence genes have the potential to cause contamination and human diseases. To improve quality and reduce contamination, the government must address the issue of providing adequate and safe water for activities in all abattoirs in Riyadh City.

Polymorphisms of Growth Hormone and Calpastatin Genes and Their Association with Sheep Meat Quality

Polymorphisms of Growth Hormone and Calpastatin Genes and Their Association with Sheep Meat Quality

Bioaccumulation of radionuclides in hoofed animals inhabiting the Semipalatinsk Test Site.

The article assesses the content of radionuclides in hoofed animals inhabiting the Semipalatinsk Test Site by calculation. Hoofed animals' faeces were sampled to determine the content of radionuclides in their diets. Based on values determined for the content of radionuclides in animals; diets, the content of radionuclides in the meat and milk of farm animals-cows (Bos taurus taurus), sheep (Ovis), goats (Capra hircus) and horses (Equus caballus Lin., 1758) as well as in the meat of wild animals-european moose (Alces alces Lin., 1758), argali (Ovis ammon Lin., 1758), roe deer (Capreolus pygargus Pal., 1771) and saiga (Saiga tatarica Lin., 1766) was calculated. No excess of permissible values of the content of 137Cs and 90Sr in the meat of farm animals was found to be expected, even for a conventional 'conservative' scenario, in which maxima of the radionuclide activity concentration in a vegetable feed (faeces) are taken as a basis. 241Am and 239+240Pu in the meat of farm hoofed animals are not standardized. Their predicted maxima of activity concentration are very low, and even in the 'conservative' scenario, they do not exceed 1.8×10-2 Bq kg-1, 1.4×10-1 Bq kg-1 and 1.6×10-1 Bq kg-1, respectively. In the milk of farm animals, the content of 137Cs and 90Sr does not exceed permissible values. 241Am and 239+240Pu in the milk of farm animals are not standardized. Their predicted activity concentration values in the milk of sheep and goats do not exceed 6.5×10-2 Bq l-1, for cows- 2.6×10-2 Bq l-1, for horses- 3.1×10-2 Bq l-1. Permissible values of 137Cs and 90Sr in the meat of wild hoofed animals are not exceeded either. In the meat of argali, roe deer and saigas, relatively high levels of 137Cs are predictable. 241Am and 239+240Pu in meat of wild animals are not standardized. Their predicted activity concentration values in the meat of moose and argali do not exceed 3.2×10-1 Bq kg-1 and 1.6×10-1 Bq kg-1, respectively, for roe deer and saiga-5.4×10-2 Bq kg-1. Thus, in case of free grazing in the STS territory, no excess of permissible values of standardized radionuclides (137Cs and 90Sr) in the meat and milk of hoofed animals is predictable.

Australian Sheep Producers' Knowledge of and Attitude towards Post-Harvest Feedback: A Mixed-Methods Case Study.

Reducing food loss is a key target for Sustainable Development Goal 12-responsible consumption and production. This study aimed to explore Australian sheep producers' knowledge of and attitude towards post-harvest feedback and how these influence pre-consumer losses in the Australian sheep meat value chain. A mixed-methods approach was taken, using a structured survey and focus group discussions. Descriptive analysis was performed on the completed structured surveys and framework analysis was performed on the focus group discussion transcripts. The structured survey results showed that sale method was the main factor influencing the quality of feedback received on carcases. No respondents reported receiving feedback on edible offal. Most producers indicated that they wanted more detailed feedback on carcases and all respondents wanted more detailed feedback on edible offal. Four themes emerged from the focus group discussions: situation, knowledge, and attitudes of producers to the feedback system; factors, enablers, and barriers in the feedback system; equity in the feedback system; and sustainability of the value chain. In addition, several short-to-medium- and long-term strategies were identified by the authors to reduce pre-consumer losses in the Australian sheep meat value chain, based on the results of this study.

Effects of Leymus chinensis hay and alfalfa hay on growth performance, rumen microbiota, and untargeted metabolomics of meat in lambs.

The objective of this study was to compare the effects of Leymus chinensis hay and alfalfa hay as the roughage on the rumen bacterial and the meat metabolomics in lambs. Fourteen male lambs were randomly assigned to two dietary treatments (one group was fed with concentrate and Leymus chinensis hay; another was fed with concentrate and alfalfa hay) with seven replicates per treatment. The feeding experiment lasted for 60 days. Lambs were slaughtered at the end of the feeding experiment. Growth performance, carcass performance, and weights of various viscera were determined. The longissimus dorsi and rumen contents were collected for untargeted metabolomics and 16S rDNA amplicon sequencing analysis, respectively. The lambs fed with alfalfa hay showed a significantly increased in average daily gain, carcass weight, dressing percentage, loin-eye area, and kidney weight. Feeding Leymus chinensis hay and alfalfa hay diets resulted in different meat metabolite deposition and rumen bacterial communities in the lambs. The relative abundance of phyla Fibrobacteres, Bacteroidetes, and Spirochaetes were greater in the Leymus Chinensis hay group, while, the relative abundance of Firmicutes, Proteobacteria, Fusobacteria, and Verrucomicrobia were greater in the alfalfa hay group. Based on untargeted metabolomics, the main altered metabolic pathways included alanine, aspartate and glutamate metabolism, D-glutamine and D-glutamate metabolism, phenylalanine metabolism, nitrogen metabolism, and tyrosine metabolism. Several bacteria genera including BF31, Alistipes, Faecalibacterium, Eggerthella, and Anaeroplasma were significantly correlated with growth performance and meat metabolites. Alfalfa hay improved growth performance and carcass characteristics in lambs. Leymus chinensis hay and alfalfa hay caused different meat metabolite deposition by modifying the rumen bacterial community. These findings will be beneficial to future forage utilization for sheep growth, carcass performance, and meat quality improvement.

Economic substantiation of the production of sheep breeding products in the farms of Ukraine

Activation of the development of sheep breeding in Ukraine is possible based on the spread of specialized farms for breeding and growing sheep for meat, which will contribute to the economy of rural areas, employment, and welfare of the population. The article presents the main results of the research on planning the economic efficiency of the production of sheep products in farms, taking into account the market conditions of Ukraine. The optimal structure for the organization of production and sale of sheep products is proposed and substantiated, which includes breeding, growing, slaughtering sheep, and entering the market through direct sales channels with sheep meat, wool, sheepskin, and main by-products, which will significantly increase the profitability of the farm compared to traditional business models in sheep breeding, which are focused on breeding and rearing with the sale of animals in live weight. The planning of the need for fixed and working capital, which is necessary for the organization of production of sheep products in a family-type farm with several 200 ewes, has been carried out. The cost of production of sheep breeding products by main species was calculated, which at the beginning of the project was 2.8 euros for 1 kg of lamb, 1.4 euros for 1 kg of wool, and about 10 euros for one sheepskin. It was determined that the required amount of advanced capital for the organization of the farm would be 88 thousand euros, which will be compensated by net cash flow in 3 years. The farm is predicted to produce and sell products in the market for a total of 54,000 euros in the first year, which will potentially increase to 80,200 euros by the end of the project, which will fully compensate for costs and ensure a net profit of up to 20,000 euros EUR per year at the end of the project implementation period. The estimated amount of net cash flow for five years is EUR 77,000, with an internal rate of return of 26.3 %. The ratio of net cash flow to the cost of capital will be from 33 to 63 %, which justifies the relatively high level of investment efficiency in the production of sheep products in family farm farms following the technical and economic features of the business described in the article. The influence of the production volume of sheep breeding products on indicators of investment effectiveness is also determined. It has been established that an increase in the number of ewes from 200 to 500 will increase the net cash flow by an average of 15-16 thousand euros per year for every 100 head of increase in the number of sheep with a simultaneous decrease in capital costs per head.

A Role of Multi-Omics Technologies in Sheep and Goat Meats: Progress and Way Ahead.

Sheep and goat meats are increasingly popular worldwide due to their superior nutritional properties and distinctive flavor profiles. In recent decades, substantial progress in meat science has facilitated in-depth examinations of ovine and caprine muscle development during the antemortem phase, as well as post-mortem changes influencing meat attributes. To elucidate the intrinsic molecular mechanisms and identify potential biomarkers associated with meat quality, the methodologies employed have evolved from traditional physicochemical parameters (such as color, tenderness, water holding capacity, flavor, and pH) to some cutting-edge omics technologies, including transcriptomics, proteomics, and metabolomics approaches. This review provides a comprehensive analysis of multi-omics techniques and their applications in unraveling sheep and goat meat quality attributes. In addition, the challenges and future perspectives associated with implementing multi-omics technologies in this area of study are discussed. Multi-omics tools can contribute to deciphering the molecular mechanism responsible for the altered the meat quality of sheep and goats across transcriptomic, proteomic, and metabolomic dimensions. The application of multi-omics technologies holds great potential in exploring and identifying biomarkers for meat quality and quality control, thereby promoting the optimization of production processes in the sheep and goat meat industry.

Multi-Omics Analysis of the Mechanism of Mentha Haplocalyx Briq on the Growth and Metabolic Regulation of Fattening Sheep.

Mentha haplocalyx Briq (MHB) and its components have been proven to improve the growth performance of livestock and poultry. The aim of this experiment was to investigate the effects of MHB addition on growth performance, rumen and fecal microbiota, rumen fluid, serum and urine metabolism, and transcriptomics of rumen epithelial cells in meat sheep. Twelve Hu sheep were selected for the experiment and fed with basic diet (CON) and a basal diet supplemented with 80 g/kg DM of Mentha haplocalyx Briq (MHB). The experimental period was 10 weeks with the first 2 weeks as the pre-trial period. The results showed that compared with the CON group, the average daily weight gain of meat sheep in the MHB group increased by 20.1%; the total volatile fatty acid (VFA) concentration significantly increased (p < 0.05); The thickness of the cecal mucosal layer was significantly reduced (p < 0.01), while the thickness of the colonic mucosal layer was significantly increased (p < 0.05), the length of ileal villi significantly increased (p < 0.01), the thickness of colonic mucosal layer and rectal mucosal muscle layer significantly increased (p < 0.05), and the thickness of cecal mucosal layer significantly decreased (p < 0.05); The serum antioxidant capacity has increased. At the genus level, the addition of MHB changed the composition of rumen and fecal microbiota, increased the relative abundance of Paraprevotella, Alloprevotella, Marinilabilia, Saccharibacteria_genera_incertae_sedis, Subdivision5_genera_incertae_sedis and Ornatilinea in rumen microbiota, and decreased the relative abundance of Blautia (p < 0.05). The relative abundance of Prevotella, Clostridium XlVb and Parasutterella increased in fecal microbiota, while the relative abundance of Blautia and Coprococcus decreased (p < 0.05). There were significant differences in the concentrations of 105, 163, and 54 metabolites in the rumen, serum, and urine between the MHB group and the CON group (p < 0.05). The main metabolic pathways of the differences were pyrimidine metabolism, taurine and taurine metabolism, glyceride metabolism, and pentose phosphate pathway (p < 0.05), which had a significant impact on protein synthesis and energy metabolism. The transcriptome sequencing results showed that differentially expressed genes were mainly enriched in immune regulation, energy metabolism, and protein modification. Therefore, adding MHB improved the growth performance of lambs by altering rumen and intestinal microbiota, rumen, serum and urine metabolomics, and transcriptome.

Combined quantitative lipidomics and back-propagation neural network approach to discriminate the breed and part source of lamb

The study successfully utilized an analytical approach that combined quantitative lipidomics with back-propagation neural networks to identify breed and part source of lamb using small-scale samples. 1230 molecules across 29 lipid classes were identified in longissimus dorsi and knuckle meat of both Tan sheep and Bahan crossbreed sheep. Applying multivariate statistical methods, 12 and 7 lipid molecules were identified as potential markers for breed and part identification, respectively. Stepwise linear discriminant analysis was applied to select 3 and 4 lipid molecules, respectively, for discriminating lamb breed and part sources, achieving correct rates of discrimination of 100 % and 95 %. Additionally, back-propagation neural network proved to be a superior method for identifying sources of lamb meat compared to other machine learning approaches. These findings indicate that integrating lipidomics with back-propagation neural network approach can provide an effective strategy to trace and certify lamb products, ensuring their quality and protecting consumer rights.

CT image segmentation of meat sheep Loin based on deep learning.

There are no clear boundaries between internal tissues in sheep Computerized Tomography images, and it is difficult for traditional methods to meet the requirements of image segmentation in application. Deep learning has shown excellent performance in image analysis. In this context, we investigated the Loin CT image segmentation of sheep based on deep learning models. The Fully Convolutional Neural Network (FCN) and 5 different UNet models were applied in image segmentation on the data set of 1471 CT images including the Loin part from 25 Australian White rams and Dolper rams using the method of 5-fold cross validation. After 10 independent runs, different evaluation metrics were applied to assess the performances of the models. All models showed excellent results in terms evaluation metrics. There were slight differences among the results from the six models, and Attention-UNet outperformed others methods with 0.998±0.009 in accuracy, 4.391±0.338 in AVER_HD, 0.90±0.012 in MIOU and 0.95±0.007 in DICE, respectively, while the optimal value of LOSS was 0.029±0.018 from Channel-UNet, and the running time of ResNet34-UNet is the shortest.